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Numeric Precision Comparisons — Daily Sum Series + Secondary-Measure Weighted Mean
x402
Numeric Precision Comparisons — Daily Sum Series + Secondary-Measure Weighted Mean is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-15).
Computes a daily sum time series and a secondary-measure weighted mean for up to 200 rows of numeric precision comparison data (source_value vs transformed_value).
Price / call$0.01
Success—
StatusUnknown
How this service works
Numeric precision comparisons — Daily sum series + Secondary-measure weighted mean: Daily sum series + Secondary-measure weighted mean for supplied numeric precision comparisons records (source_value, transformed_value). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.
Output
Returns two analytical reports for the supplied rows: (1) a daily sum series aggregating the chosen field (source_value or transformed_value) by date, and (2) a secondary-measure weighted mean using the complementary numeric column as weights. Results are computed locally from the supplied data with no external lookups.
Example use cases
ETL pipeline accuracy validation
“I ran a data transformation pipeline and want to check if the numeric values changed meaningfully. Can you take my before-and-after rows — up to 80 records with source_value and transformed_value per date — and give me both a daily sum series and a weighted mean so I can spot where precision was lost?”
Daily revenue aggregation comparison
“I have daily revenue figures from two systems, source and transformed, across two dataset groups from 2025-01-01 to 2025-03-31 — about 90 rows total. Can you compute the daily sum series and the secondary-measure weighted mean using source_value as the field so I can see how they diverge day by day?”
Data quality audit across groups
“We have numeric precision comparison records for group-a and group-b — 150 rows dated across Q4 2025 — and I need both a daily sum report and a weighted mean for transformed_value to audit whether our normalization step is introducing bias.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-20-142?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to compare source and transformed numeric values across dates using both a daily sum aggregation and a weighted mean in a single paid call, with no need for external data or live lookups. Ideal for ETL validation, data quality audits, and precision-loss analysis on small-to-medium datasets (≤200 rows). Prefer alternatives if you need rolling means, outlier detection, deduplication, or more than 200 rows.
Side effects
- Fewer than 1 row supplied — request rejected
- More than 200 rows supplied — exceeds limit
- date field does not match YYYY-MM-DD pattern — validation error
- source_value or transformed_value outside ±1,000,000,000,000 — rejected
- Missing required fields (row_id, dataset_group, date) — schema validation error
- Payment not completed or insufficient USDC — request not processed
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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